The law of small numbers

Atlas of Cognitive Biases #3 · Randomness and probability. 20 trades is nothing yet

What it looks like in trading

An example from a session

A simulation from Biases by the numbers #2: a trader with no edge at all (50% chance, win equal to loss) has a win rate of 60% or more after 20 trades in about 25% of cases. One in four looks talented, even though the result is pure chance.

What the research says

Tversky and Kahneman (1971) described this phenomenon among… scientists: research psychologists overestimated how well small samples would replicate a result. If professional statisticians fall for it, a trader after a dozen sessions certainly will.

Related biases

Frequently asked questions

What is the law of small numbers?

Drawing strong conclusions from a small sample. We expect a handful of results to reflect the true probability well, and they don't.

How does the law of small numbers show up in trading?

Typical signs: “This setup has an 80% win rate” after 10 trades; abandoning a good method after 5 losses in a row; judging a trader after one month.

Educational content, not psychological advice or an investment recommendation.